Local Linear Transform and New Features of Histogram Characteristic Functions for Steganalysis of Least Significant Bit Matching Steganography

• Ergong Zheng,
• Xijian Ping,
• Tao Zhang,

Vol. 5, No. 4, April 28, 2011
10.3837/tiis.2011.04.012, Download Paper (Free):

• Steganalysis
• LSB matching
• local linear transform
• characteristic function

Abstract

In the context of additive noise steganography model, we propose a method to detect least significant bit (LSB) matching steganography in grayscale images. Images are decomposed into detail sub-bands with local linear transform (LLT) masks which are sensitive to embedding. Novel normalized characteristic function features weighted by a bank of band-pass filters are extracted from the detail sub-bands. A suboptimal feature set is searched by using a threshold selection algorithm. Extensive experiments are performed on four diverse uncompressed image databases. In comparison with other well-known feature sets, the proposed feature set performs the best under most circumstances.

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